QAestro–semantic-based composition of question answering pipelines
K Singh, I Lytra, ME Vidal, D Punjani, H Thakkar… – … on Database and Expert …, 2017 – Springer
… For instance, the analysis of a question often includes tasks such as named entity recognition, disambiguation, and relation extraction, to name a few … 6 Related Work. Since 2010, more than 70 Question Answering Systems have been developed [12] …

Matching Natural Language Relations to Knowledge Graph Properties for Question Answering
IO Mulang, K Singh, F Orlandi – … of the 13th International Conference on …, 2017 – dl.acm.org
… We identify this as a major research gap in collaborative question answering system development. e creation of a standalone and reusable component for relation extraction and linking in this context would not only facilitate reuse of the component in di erent QA systems but …

MIT at SemEval-2017 Task 10: Relation Extraction with Convolutional Neural Networks
JY Lee, F Dernoncourt, P Szolovits – arXiv preprint arXiv:1704.01523, 2017 – arxiv.org
… In this work, we concentrate on the second step (often referred to as relation extraction or classi- fication) and on binary relations, ie relations be- tween two entities. Extracted relations can be used for a variety of tasks such as question-answering systems (Ravichandran and …

Grounding proposition stores for question answering over linked data
B Cabaleiro, A Peñas, S Manandhar – Knowledge-Based Systems, 2017 – Elsevier
… However, the importance of the lexicons that are central to this mapping remains unmeasured because question answering systems are evaluated as end-to-end systems … 3. System architecture. In this section we revise the architecture of the question answering system …

Open information extraction
DT Vo, E Bagheri – Encyclopedia with Semantic Computing and …, 2017 – World Scientific
… Another approach in the second generation, clause-based relation extraction, uses dependency parsing and a set of rules for … For instance, TextRunner can support user input queries such as \(?, kill, bacteria)” or \(Barack Obama, ?, US)” similar to Question Answering systems …

Extracting semantic relations from the Quranic Arabic based on Arabic conjunctive patterns
R Bentrcia, S Zidat, F Marir – Journal of King Saud University-Computer and …, 2017 – Elsevier
… One such system is the question answering system for Quran (Q&A system) (Abdelnasser et al., 2014; Hakkoum and Raghay, 2016) where the … Also, we define another component that seeks extracting conjunctive patterns to accomplish the relation extraction task, as detailed in …

ADANS: An agriculture domain question answering system using ontologies
M Devi, M Dua – Computing, Communication and Automation …, 2017 – ieeexplore.ieee.org
… knowledge base. Pattern based method or machine learning approach is being used in relation extraction. The question analysis … of the system. QAPD[2]: an ontology-based question answering system in the physics domain. This is …

Relation Extraction and Its Application to Question Answering
Y Xu – 2017 – era.library.ualberta.ca
… ii Page 3. task. Last but not least, to show the effect of our relation extraction systems, we built an Open IE-based question answering system and achieved promising results. Our analysis indicates the weakness of the current Open IE systems …

An automatic question answering system for the Arabic Quran
MAH Adany – 2017 – repository.sustech.edu
… College of Post Graduate Studies An automatic question answering system for the Arabic Quran … I, the signing here-under, declare that I am the supervisor of the sole author of the Ph.D. dissertation entitled: An automatic question answering system for the Arabic Quran …

Conclusions and Future Prospects
A Camus – pdfs.semanticscholar.org
Page 1. University of Groningen Automatic term and relation extraction for medical question answering system Fahmi, Ismail … Citation for published version (APA): Fahmi, I. (2009). Automatic term and relation extraction for medical question answering system sn …

A New Question Answering Approach with Conceptual Graphs.
KM Kim, J Jung, J Ryu, HM Park, JP Joohee, S Jeong… – CORIA, 2017 – ir.kaist.ac.kr
… It is one of the main differences between the proposed approach and the conventional information retrieval (IR) based QA approach or an open-domain relation extraction (Open-IE) approach, where strings composed of words or phrases appearing in the source text are used …

Cause and Effect Extraction from Biomedical Corpus
S Gopalan, SL Devi – Computación y Sistemas, 2017 – cys.cic.ipn.mx
… This system makes a significant contribution towards the question answering system particularly the answering of Why-Questions and text summarization … step the input text was preprocessed to convert it to the format required for explicit discourse relation extraction and BNE …

Personal Attributes Extraction in Chinese Text Based on Distant-Supervision and LSTM
W Yao, J Liu, Z Cai – Advances in Computer Science and Ubiquitous …, 2017 – Springer
… Attribute extraction is very important for information retrieval, question answering system and knowledge reasoning … This method not only solves the problem of data sparseness in relation extraction, but also improves the recall rate and accuracy rate of entity attribute relation …

The 13th International Scientific Conference eLearning and Software for Education Bucharest, April 27-28, 2017
D TRANDAB?? – ceeol.com
… reference is the research of the Watson group from IBM, and their discoveries on snippets evaluation and relationship extraction with direct … explored for eLearning [17], the only relation made so far between semantic roles and eLearning is through question answering systems …

RelNet: End-to-end Modeling of Entities & Relations
T Bansal, A Neelakantan, A McCallum – arXiv preprint arXiv:1706.07179, 2017 – arxiv.org
… and reasoning relies on a pipeline of natural lan- guage processing systems, often consisting of named entity extraction [13], entity resolution and coreference [14], relationship extraction [5], and … There is a long line of work in textual question-answering systems [22, 23] …

Action Languages and Question Answering
Y Lierler, D Inclezan, M Gelfond – IWCS 2017—12th International …, 2017 – aclweb.org
… This paper describes a methodology for designing Question Answering systems that utilize an action language ALM to allow inferences based on complex interactions … Stage 1 or Entity and relation extraction: The goal of this stage is to take an English discourse as an input and …

A Hybrid Approach for Biomedical Relation Extraction Using Finite State Automata and Random Forest-Weighted Fusion
T Mavropoulos, D Liparas, S Symeonidis, S Vrochidis… – researchgate.net
… is considered to be a very important task, due to the multitude of applications that it can support, from question answering systems to the … In this study, we extend a previ- ously established hybrid framework for medical relation extraction, which we modify by enhancing the pattern …

SEMANTIC ROLE ANNOTATION FOR ELEARNING
D Trandabat – The International Scientific Conference …, 2017 – search.proquest.com
… reference is the research of the Watson group from IBM, and their discoveries on snippets evaluation and relationship extraction with direct … explored for eLearning [17], the only relation made so far between semantic roles and eLearning is through question answering systems …

Question Answering Systems: A Review on Present Developments, Challenges and Trends
L Kodra, EK Meçe – INTERNATIONAL JOURNAL OF …, 2017 – pdfs.semanticscholar.org
… Vol. 8, No. 9, 2017 217 | P age www.ijacsa.thesai.org Question Answering Systems: A Review on Present … Abstract—Question Answering Systems (QAS) are becoming a model for the future of web search. In this paper we present a study of the latest research in this area …

Desire: Deep Semantic Understanding and Retrieval for Technical Support Services
P Mohapatra – … –ICSOC 2016 Workshops: ASOCA, ISyCC, BSCI …, 2017 – books.google.com
… In recent times, a number of classifiers using deep learning techniques have been built for question answering systems [2]. When there are commonly repeat … We use Statistical Information and Relation Extraction (SIRE)[5] for detec- tion of symptom, intent and attempt mentions …

A knowledge and reasoning toolkit for cognitive applications
M Canim, C Cornelio, R Farrell, A Fokoue… – Proceedings of the fifth …, 2017 – dl.acm.org
… Following relation extraction, another microservice connects entities and rela- tions extracted from text units with the both nodes and properties … Ultimately, a question answering system or dialogue system should be able to query the resulting graph to answer ques- tions …

From French Wikipedia to Erudit: A test case for cross?domain open information extraction
F Gotti, P Langlais – Computational Intelligence, 2017 – Wiley Online Library
… One of the most striking projects is IBM’s Watson question answering system,3 which exploits the information extracted from over 200 million Web … The empirical POS?based regular expression at the heart of relation extraction was changed from the original (shown in Figure 1 …

A Study on Natural Language Processing for Human Computer Interaction
N MPSTME – ijarcet.org
… The technique of entity and relationship extraction was introduced to check if the document and the entities extracted from it are … by offering vocal interaction possibilities in addition to graphical and touch screen interactions; and, more recently, question-answering systems(QAS …

ON USAGE OF MACHINE LEARNING FOR NATURAL LANGUAGE PROCESSING TASKS AS ILLUSTRATED BY EDUCATIONAL CONTENT MINING
AV Melnikov, DS Botov, JD Klenin – ????????? ??????????????, 2017 – cyberleninka.ru
… relation extraction, fact extraction … This classifier was also used to determine similarity between nodes, extracted from the graph of the knowledge base, and the correct answer as part of the natural language question-answering systems [14] …

Extraction of ObjectProperty-UsageMethod Relation from Web Documents.
C Pechsiri, S Phainoun… – Journal of Information …, 2017 – search.ebscohost.com
… The research results can provide high precision in the HerbalMedicinalProperty- UsageMethod relation extraction … Their treatment relation extraction was based on a couple of medical entities or noun phrases occurring within a single sentence …

Community graph and linguistic analysis to validate relationships for knowledge base population
R Rahman, B Grau, S Rosset – 4th International Symposium on …, 2017 – ceur-ws.org
… about the object of a relation and words around the mentions have been taken into account for web relation extraction by (Au … in pub- lishing networks (Holzinger et al., 2013) and mu- tual information for the validation of responses in question answering systems (Magnini et al …

Enriching learning materials with semantic roles
D Trandab?? – Procedia Computer Science, 2017 – Elsevier
… reference is the research of the Watson group from IBM, and their discoveries on snippets evaluation and relationship extraction with direct … explored for eLearning [17], the only relation made so far between semantic roles and eLearning is through question answering systems …

Answering Natural Language Questions by Subgraph Matching over Knowledge Graphs
S Hu, L Zou, JX Yu, H Wang… – IEEE Transactions on …, 2017 – ieeexplore.ieee.org
… The semantic relation extraction is based on the dependency tree of users’ question sentence and a relation mention dictionary (see more details in Section 4.1). If the two semantic relations have one common node, they share one endpoint in QS …

Learning Semantic Patterns for Question Generation and Question Answering
HP Rodrigues – 2017 – pdfs.semanticscholar.org
… Bouma et al. [2011] report a relation extraction technique for both open and closed domain Page 17. 3.1 … DIPRE [Brin, 1999] and Snowball [Agichtein and Gravano, 2000], which was based on the first, are two relation extraction systems that also use patterns …

Review of Chinese entity relation extraction
W Zirui, M Fang, J Libiao – Control Science and Systems …, 2017 – ieeexplore.ieee.org
… As an important part of information extraction technology, Entity relation extraction has important research value and wide application in many fields, such as semantic annotation, text comprehension, the construction of Intelligent Question-Answer System, and machine …

Detection of contradictions by relation matching and uncertainty assessment
V Dragos – Procedia Computer Science, 2017 – Elsevier
… Keywords: contradiction identification; relation extraction; uncertainty assessment … Much of the earlier research in contradiction detection has been performed in the field of natural language process- ing, as question/answering systems needed new solutions to answer negative …

Semantic/Content Analysis/Natural Language Processing
P Nulty – Encyclopedia of Big Data, 2017 – Springer
… On the other hand, some applications, such as the IBM Watson question answering system (Ferruci et al … word by the company it keeps.” The co-occurrence vectors of words have been shown to be useful for noun phrase disambiguation, semantic relation extraction, and analogy …

Neural Networks for Fine-grained Entity Type Classification
S Shimaoka – 2017 – cl.ecei.tohoku.ac.jp
… IBM Watson[Fer+10] is the championing example of question answering system. While above examples of NLP tasks are in themselves acknowledged to be useful … Es- pecially in factoid question answering system in which the form of the answer is re …

Automatic Generation of Benchmarks for Entity Recognition and Linking
ACN Ngomo, M Röder, D Moussallem… – arXiv preprint arXiv …, 2017 – arxiv.org
… cam- paigns such as BioASQ [2] have led to an improvement of the F-measure achieved by bio-medical question answering systems by more … verbalizing RDF graphs and show how verbalized RDF can be used to create NER, EL and even relation extraction (RE) benchmarks …

Building thesaurus-based knowledge graph based on schema layer
B Qiao, K Fang, Y Chen, X Zhu – Cluster Computing, 2017 – Springer
… In the area of academic and industry, the remarkable achievements in the construction of knowledge graph set up a foundation for breakthrough of intelligent question answering system technology … Including entity attribute extraction, entity relation extraction and so on. Notes …

Framing qa as building and ranking intersentence answer justifications
P Jansen, R Sharp, M Surdeanu, P Clark – Computational Linguistics, 2017 – MIT Press
… Finally, we round out our discussion of question answering systems with a comparison to the famous Watson QA system, which achieved performance on par with the human champions in the Jeopardy! game (Ferrucci 2012) …

Propositional Knowledge: Acquisition and Application to Syntactic and Semantic Parsing
B Cabaleiro Barciela – 2017 – e-spacio.uned.es
… apposition. Regarding semantic parsing, we build a lexicon that permits to map natural language utterances in the form of propositions with linked data relations, and show how to use this resource in a question answering system …

Towards the Implementation of an Intelligent Software Agent for the Elderly
AHF Dinevari – 2017 – era.library.ualberta.ca
… interrogative according to the context of the conversation. Having the appropriate response is crucial. • Question Answering: System should be able to answer personal and general questions, which may need a reasoning on different knowledge bases …

Hyperlex: A large-scale evaluation of graded lexical entailment
I Vuli?, D Gerz, D Kiela, F Hill, A Korhonen – Computational Linguistics, 2017 – MIT Press
… For instance, in order to answer a question such as “Which mammal has a strong bite?”, a question-answering system has to know that a jaguar or a grizzly bear are types of mammals, whereas a crocodile or a piranha are not …

Exploiting Linked Data and Knowledge Graphs in Large Organisations
JZ Pan, G Vetere, JM Gomez-Perez, H Wu – 2017 – Springer
… In 2007, a group of 12 researchers at IBM began working on a top secret moonshot project which we code-named “BlueJ”—building a natural language question answering system capable of the speed and accuracy necessary to achieve expert human-level performance on the …

Phonological grammar and frequency
M Sloos – rug.nl
Page 1. University of Groningen Phonological grammar and frequency Sloos, Marjoleine IMPORTANT NOTE: You are advised to consult the publisher’s version (publisher’s PDF) if you wish to cite from it. Please check the document version below …

Artificial Intelligence and Legal Analytics: New Tools for Law Practice in the Digital Age
KD Ashley – 2017 – books.google.com
Page 1. ARTIFICIAL |NTELLIGENCE AND LEGAL ANALYTICS New Tools for Law Practice in the Digital Age Kevin D. Ashley CAMERIDGE Page 2. ARTIFICIAL INTELLIGENCE AND LEGAL ANALYTICS New Tools for Law Practice …

Cognitive Computing: Where Big Data Is Driving Us
AP Appel, H Candello, FL Gandour – Handbook of Big Data Technologies, 2017 – Springer
In this chapter we will discuss the concepts and challenges to design Cognitive Systems. Cognitive Computing is the use of computational learning systems to augment cognitive capabilities in solving r.

Semantic Search for Novel Information
M Färber – 2017 – books.google.com
Page 1. SEMANTIC SEARCH FOR NOVEL INFORMATION Page 2. Studies on the Semantic Web www.semantic-web-studies.net Semantic Web has grown into a mature field of research. Its methods find innovative applications on and off the World WideWeb …

From Event to Story Understanding
N Mostafazadeh – 2017 – search.proquest.com
… a question answering system … The results of TempEval-3 [UzZaman et al., 2012] show that the. performance of extracting TimeML events and time expressions is good (80% F-score),. however, the state-of-the-art performance on the temporal relation extraction is about …

Contextual representation of documents, entities, and faces of people using a news corpus
MA Kader – 2017 – search.proquest.com
Contextual representation of documents, entities, and faces of people using a news corpus. Abstract. A massive amount of unstructured data, in this information age, is composed of document collections. Examples include news …

A Framework for Developing Knowledge Bases of Scientific Artefacts in the Biomedical Domain
H Hassanzadeh – espace.library.uq.edu.au
Page 1. A Framework for Developing Knowledge Bases of Scientific Artefacts in the Biomedical Domain Hamed Hassanzadeh BSc Eng, MSc Eng A thesis submitted for the degree of Doctor of Philosophy at The University of Queensland in 2017 …